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Ripple is seeking a Senior Manager of Marketing Analytics to lead the analytical backbone of its growth marketing engine. Reporting to the Director of Marketing Operations and Demand Generation, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution.
Key responsibilities include:
- Owning end-to-end measurement and analytics across growth marketing, ensuring consistent, actionable reporting from spend to revenue
- Leading visualization and reporting infrastructure, translating complex data into clear dashboards and narratives for stakeholders at all levels
- Driving pipeline attribution, ROI, CAC, LTV, and ad spend distribution analyses to inform investment decisions
- Partnering with Growth Marketing, Finance, and RevOps on spend pacing and forecasting
- Evolving attribution modeling and performance measurement frameworks using AI and machine learning
- Applying AI-powered tools and predictive modeling to surface proactive insights and support faster decision-making
- Empowering experimentation programs with data-driven insights, including A/B testing and lift analyses
- Partnering with RevOps, Business Intelligence, and Marketing Operations teams to build reporting connecting spend to pipeline and revenue using Salesforce, Tableau, and other platforms
- Identifying opportunities to automate reporting and analytics workflows using AI
- Ensuring data quality and integrity across CRM and marketing systems
You will work in a fast-paced environment where AI is core to scaling marketing programs. The role emphasizes cross-functional collaboration with Growth Marketing, Finance, RevOps, and Business Intelligence teams.
REQUIREMENTS:
- 5+ years of experience in marketing analytics, growth analytics, or related field
- Deep expertise in growth marketing measurement methodologies across the funnel
- Hands-on experience with Salesforce CRM and marketing data pipelines
- Familiarity with AI and machine learning concepts as applied to marketing analytics (predictive modeling, anomaly detection, automated insights)
- Strong proficiency in data visualization tools (Tableau, Looker, or similar)
- Experience with attribution modeling, media mix modeling, and/or incrementality testing
- Proficiency in SQL; Python or R experience is a plus
- Proven track record leading forecasting and budget analysis in partnership with Finance and Revenue Operations
- Excellent communication skills with ability to present complex data to technical and executive audiences
- Strong cross-functional collaboration skills
